Answer:
Step-by-step explanation:
for the theoretical probability, it doesn't matter if you flip 100 coins or 10000 coins because it is a theory behind probability.
Probability of Event P(E) = No. of. Favourable outcomes/ No. of. Possible outcomes.
The experimental probability will get closer to the theoretical probability the more coins you flip. This means that if you flip an infinite number of coins, you will get theoretical probability.
There are four possibilities.
H-H
H-T
T-H
T-T
Therefore, there is 1/4 chance to get two heads 25%.
There is 2/4 or 1/2 chance to get one heads and one tails 50%
And there is also 1/4 chance to get two tails 25%.
The experimental probability of tossing 2 coins 100 times is useless and a waste of time. Just make up some numbers that make sense and are close to the theoretical probability.
For example
H-H 31 times 31%
T-T 23 times 23%
One H and One T 46 times 46%
The variation between theoretical and Experimental is because you only flipped the coins 100 times. Theoretical probability does not account for this.